Philip Monk
- Infectious Diseases top 1%
- Epidemiology top 2%
- Surgery top 5%
- Molecular Biology
- Microbiology top 5%
- Co-authors
- E. Grace SmithLydia Alvarez‐ErvitiJonathan J DeeksAjit LalvaniKatie EwerPeter AndersenS. WallerA Sarah Walker
- Topics
- Tuberculosis Research and Epidemiology (11 papers)Mycobacterium research and diagnosis (6 papers)Infectious Diseases and Tuberculosis (3 papers)
- Partner nations
- United KingdomNetherlandsSweden
In The Last Decade
Philip Monk
23 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Infectious Diseases 1.2k
- Epidemiology 1.1k
- Surgery 591
- Molecular Biology 227
- Microbiology 126
Countries citing papers authored by Philip Monk
This map shows the geographic impact of Philip Monk's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Philip Monk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Monk more than expected).
Fields of papers citing papers by Philip Monk
This network shows the impact of papers produced by Philip Monk. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Philip Monk. The network helps show where Philip Monk may publish in the future.
Co-authorship network of co-authors of Philip Monk
This figure shows the co-authorship network connecting the top 25 collaborators of Philip Monk. A scholar is included among the top collaborators of Philip Monk based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Philip Monk. Philip Monk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 16 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 48 | |
| 6 | 20 | |
| 7 | Whole-genome sequencing to delineate Mycobacterium tuberculosis outbreaks: a retrospective observational studybreakdown → | 644 |
| 8 | 24 | |
| 9 | PSEUDOTUMOURS AFTER HIP RESURFACING | 0 |
| 10 | 7 | |
| 11 | Disassembling the Archive: Fiona Tan | 1 |
| 12 | Double-Cross: The Hollywood Films of Douglas Gordon | 5 |
| 13 | 469 | |
| 14 | 22 | |
| 15 | 18 | |
| 16 | Mike Kelley and Paul McCarthy: Collaborative Works | 1 |
| 17 | 41 | |
| 18 | Management of clusters of meningococcal disease. PHIS Meningococcus Working Group and Public Health Medicine Environmental Group. | 17 |
| 19 | The Michael Snow Project : Visual Art, 1951-1993 | 0 |
| 20 | 4 |
About Philip Monk
Philip Monk is a scholar working on Infectious Diseases, Visual Arts and Performing Arts and Microbiology, having authored 26 papers that have together received 1.4k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (11 papers), Mycobacterium research and diagnosis (6 papers) and Infectious Diseases and Tuberculosis (3 papers). The work is most often cited by research in Infectious Diseases (1.2k citations), Epidemiology (1.1k citations) and Microbiology (126 citations). Philip Monk has collaborated with scholars based in United Kingdom, Netherlands and Sweden. Frequent co-authors include E. Grace Smith, Lydia Alvarez‐Erviti, Jonathan J Deeks, Ajit Lalvani, Katie Ewer, Peter Andersen, S. Waller, A Sarah Walker, Tim Peto and Jason T. Evans. Their work appears in journals such as The Lancet, Journal of Clinical Microbiology and The Lancet Infectious Diseases.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.